Abstract
This paper proposes a Global Positioning System (GPS) based method for collecting historical travel time data, including link travel time and intersection signal delay information, for an arterial roadway network. A posttrip map-matching algorithm is introduced to project GPS data onto an existing arterial roadway network. A model is formulated by analyzing the three critical factors–minimum distance, direction similarity, and speed comparison error–in the map-matching decision to detect the critical points needed to obtain the intersection delay information. Two GPS data sets with different GPS accuracy–from Shanghai, China, and Aachen, Germany–are used in the study to calibrate and verify the posttrip map-matching algorithm. Then, through the model proposed, travel time and intersection delay information is extracted from the GPS data sets. By a comparison with results from electronic distance-measuring instrument data, the results of the experiment are shown to be satisfactory and compelling.